Update immutable data

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Package for checking function arguments

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Immutables as mutables, mutables as immutables.

Base API optimized for tuples

Bit twiddling convenience functions.

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Interface for transformation functions in Julia

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A common solve function for scientific machine learning (SciML) and beyond

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

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Primitives for construction of objects

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

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A data-focused namespace for packages to share functions

Julia implementation of Data structures

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A package which provides an API for querying differentiation results at multiple orders simultaneously

A simple shared suite of common derivative definitions

A Julia package for evaluating distances (metrics) between vectors.

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Extensions for Julia's docsystem.

XML/HTML handling tools for primates

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Forward Mode Automatic Differentiation for Julia

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Under some conditions you may need this function

Canonical default initial values and identity elements for Julia

Interface for function inversion in Julia

Defines additional irrationals

Traits for julia iterators

Common functional iterator patterns

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Julia package for various special functions based on `log` and `exp`.

Macro(s) for vectorizing loops.